Analysis of Gene Expression Profiles of Soft Tissue Sarcoma Using a Combination of Knowledge-Based Filtering with Integration of Multiple Statistics
The diagnosis and treatment of soft tissue sarcomas (STS) have been difficult. Of the diverse histological subtypes, undifferentiated pleomorphic sarcoma (UPS) is particularly difficult to diagnose accurately, and its classification per se is still controversial. Recent advances in genomic technolog...
Saved in:
| Published in | PloS one Vol. 9; no. 9; p. e106801 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Public Library of Science
04.09.2014
Public Library of Science (PLoS) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1932-6203 1932-6203 |
| DOI | 10.1371/journal.pone.0106801 |
Cover
| Abstract | The diagnosis and treatment of soft tissue sarcomas (STS) have been difficult. Of the diverse histological subtypes, undifferentiated pleomorphic sarcoma (UPS) is particularly difficult to diagnose accurately, and its classification per se is still controversial. Recent advances in genomic technologies provide an excellent way to address such problems. However, it is often difficult, if not impossible, to identify definitive disease-associated genes using genome-wide analysis alone, primarily because of multiple testing problems. In the present study, we analyzed microarray data from 88 STS patients using a combination method that used knowledge-based filtering and a simulation based on the integration of multiple statistics to reduce multiple testing problems. We identified 25 genes, including hypoxia-related genes (e.g., MIF, SCD1, P4HA1, ENO1, and STAT1) and cell cycle- and DNA repair-related genes (e.g., TACC3, PRDX1, PRKDC, and H2AFY). These genes showed significant differential expression among histological subtypes, including UPS, and showed associations with overall survival. STAT1 showed a strong association with overall survival in UPS patients (logrank p = 1.84 × 10(-6) and adjusted p value 2.99 × 10(-3) after the permutation test). According to the literature, the 25 genes selected are useful not only as markers of differential diagnosis but also as prognostic/predictive markers and/or therapeutic targets for STS. Our combination method can identify genes that are potential prognostic/predictive factors and/or therapeutic targets in STS and possibly in other cancers. These disease-associated genes deserve further preclinical and clinical validation. |
|---|---|
| AbstractList | The diagnosis and treatment of soft tissue sarcomas (STS) have been difficult. Of the diverse histological subtypes, undifferentiated pleomorphic sarcoma (UPS) is particularly difficult to diagnose accurately, and its classification per se is still controversial. Recent advances in genomic technologies provide an excellent way to address such problems. However, it is often difficult, if not impossible, to identify definitive disease-associated genes using genome-wide analysis alone, primarily because of multiple testing problems. In the present study, we analyzed microarray data from 88 STS patients using a combination method that used knowledge-based filtering and a simulation based on the integration of multiple statistics to reduce multiple testing problems. We identified 25 genes, including hypoxia-related genes (e.g., MIF , SCD1 , P4HA1 , ENO1 , and STAT1 ) and cell cycle- and DNA repair-related genes (e.g., TACC3 , PRDX1 , PRKDC , and H2AFY ). These genes showed significant differential expression among histological subtypes, including UPS, and showed associations with overall survival. STAT1 showed a strong association with overall survival in UPS patients (logrank p = 1.84×10 −6 and adjusted p value 2.99×10 −3 after the permutation test). According to the literature, the 25 genes selected are useful not only as markers of differential diagnosis but also as prognostic/predictive markers and/or therapeutic targets for STS. Our combination method can identify genes that are potential prognostic/predictive factors and/or therapeutic targets in STS and possibly in other cancers. These disease-associated genes deserve further preclinical and clinical validation. The diagnosis and treatment of soft tissue sarcomas (STS) have been difficult. Of the diverse histological subtypes, undifferentiated pleomorphic sarcoma (UPS) is particularly difficult to diagnose accurately, and its classification per se is still controversial. Recent advances in genomic technologies provide an excellent way to address such problems. However, it is often difficult, if not impossible, to identify definitive disease-associated genes using genome-wide analysis alone, primarily because of multiple testing problems. In the present study, we analyzed microarray data from 88 STS patients using a combination method that used knowledge-based filtering and a simulation based on the integration of multiple statistics to reduce multiple testing problems. We identified 25 genes, including hypoxia-related genes (e.g., MIF, SCD1, P4HA1, ENO1, and STAT1) and cell cycle- and DNA repair-related genes (e.g., TACC3, PRDX1, PRKDC, and H2AFY). These genes showed significant differential expression among histological subtypes, including UPS, and showed associations with overall survival. STAT1 showed a strong association with overall survival in UPS patients (logrank p = 1.84x10.sup.-6 and adjusted p value 2.99x10.sup.-3 after the permutation test). According to the literature, the 25 genes selected are useful not only as markers of differential diagnosis but also as prognostic/predictive markers and/or therapeutic targets for STS. Our combination method can identify genes that are potential prognostic/predictive factors and/or therapeutic targets in STS and possibly in other cancers. These disease-associated genes deserve further preclinical and clinical validation. The diagnosis and treatment of soft tissue sarcomas (STS) have been difficult. Of the diverse histological subtypes, undifferentiated pleomorphic sarcoma (UPS) is particularly difficult to diagnose accurately, and its classification per se is still controversial. Recent advances in genomic technologies provide an excellent way to address such problems. However, it is often difficult, if not impossible, to identify definitive disease-associated genes using genome-wide analysis alone, primarily because of multiple testing problems. In the present study, we analyzed microarray data from 88 STS patients using a combination method that used knowledge-based filtering and a simulation based on the integration of multiple statistics to reduce multiple testing problems. We identified 25 genes, including hypoxia-related genes (e.g., MIF, SCD1, P4HA1, ENO1, and STAT1) and cell cycle- and DNA repair-related genes (e.g., TACC3, PRDX1, PRKDC, and H2AFY). These genes showed significant differential expression among histological subtypes, including UPS, and showed associations with overall survival. STAT1 showed a strong association with overall survival in UPS patients (logrank p = 1.84 × 10(-6) and adjusted p value 2.99 × 10(-3) after the permutation test). According to the literature, the 25 genes selected are useful not only as markers of differential diagnosis but also as prognostic/predictive markers and/or therapeutic targets for STS. Our combination method can identify genes that are potential prognostic/predictive factors and/or therapeutic targets in STS and possibly in other cancers. These disease-associated genes deserve further preclinical and clinical validation. The diagnosis and treatment of soft tissue sarcomas (STS) have been difficult. Of the diverse histological subtypes, undifferentiated pleomorphic sarcoma (UPS) is particularly difficult to diagnose accurately, and its classification per se is still controversial. Recent advances in genomic technologies provide an excellent way to address such problems. However, it is often difficult, if not impossible, to identify definitive disease-associated genes using genome-wide analysis alone, primarily because of multiple testing problems. In the present study, we analyzed microarray data from 88 STS patients using a combination method that used knowledge-based filtering and a simulation based on the integration of multiple statistics to reduce multiple testing problems. We identified 25 genes, including hypoxia-related genes (e.g., MIF, SCD1, P4HA1, ENO1, and STAT1) and cell cycle- and DNA repair-related genes (e.g., TACC3, PRDX1, PRKDC, and H2AFY). These genes showed significant differential expression among histological subtypes, including UPS, and showed associations with overall survival. STAT1 showed a strong association with overall survival in UPS patients (logrank p = 1.84×10−6 and adjusted p value 2.99×10−3 after the permutation test). According to the literature, the 25 genes selected are useful not only as markers of differential diagnosis but also as prognostic/predictive markers and/or therapeutic targets for STS. Our combination method can identify genes that are potential prognostic/predictive factors and/or therapeutic targets in STS and possibly in other cancers. These disease-associated genes deserve further preclinical and clinical validation. The diagnosis and treatment of soft tissue sarcomas (STS) have been difficult. Of the diverse histological subtypes, undifferentiated pleomorphic sarcoma (UPS) is particularly difficult to diagnose accurately, and its classification per se is still controversial. Recent advances in genomic technologies provide an excellent way to address such problems. However, it is often difficult, if not impossible, to identify definitive disease-associated genes using genome-wide analysis alone, primarily because of multiple testing problems. In the present study, we analyzed microarray data from 88 STS patients using a combination method that used knowledge-based filtering and a simulation based on the integration of multiple statistics to reduce multiple testing problems. We identified 25 genes, including hypoxia-related genes (e.g., MIF, SCD1, P4HA1, ENO1, and STAT1) and cell cycle- and DNA repair-related genes (e.g., TACC3, PRDX1, PRKDC, and H2AFY). These genes showed significant differential expression among histological subtypes, including UPS, and showed associations with overall survival. STAT1 showed a strong association with overall survival in UPS patients (logrank p = 1.84 × 10(-6) and adjusted p value 2.99 × 10(-3) after the permutation test). According to the literature, the 25 genes selected are useful not only as markers of differential diagnosis but also as prognostic/predictive markers and/or therapeutic targets for STS. Our combination method can identify genes that are potential prognostic/predictive factors and/or therapeutic targets in STS and possibly in other cancers. These disease-associated genes deserve further preclinical and clinical validation.The diagnosis and treatment of soft tissue sarcomas (STS) have been difficult. Of the diverse histological subtypes, undifferentiated pleomorphic sarcoma (UPS) is particularly difficult to diagnose accurately, and its classification per se is still controversial. Recent advances in genomic technologies provide an excellent way to address such problems. However, it is often difficult, if not impossible, to identify definitive disease-associated genes using genome-wide analysis alone, primarily because of multiple testing problems. In the present study, we analyzed microarray data from 88 STS patients using a combination method that used knowledge-based filtering and a simulation based on the integration of multiple statistics to reduce multiple testing problems. We identified 25 genes, including hypoxia-related genes (e.g., MIF, SCD1, P4HA1, ENO1, and STAT1) and cell cycle- and DNA repair-related genes (e.g., TACC3, PRDX1, PRKDC, and H2AFY). These genes showed significant differential expression among histological subtypes, including UPS, and showed associations with overall survival. STAT1 showed a strong association with overall survival in UPS patients (logrank p = 1.84 × 10(-6) and adjusted p value 2.99 × 10(-3) after the permutation test). According to the literature, the 25 genes selected are useful not only as markers of differential diagnosis but also as prognostic/predictive markers and/or therapeutic targets for STS. Our combination method can identify genes that are potential prognostic/predictive factors and/or therapeutic targets in STS and possibly in other cancers. These disease-associated genes deserve further preclinical and clinical validation. |
| Audience | Academic |
| Author | Ishibashi, Nanako Nakayama, Robert Marui, Shigetaka Takahashi, Teruyoshi Sugita, Shintaro Sakamoto, Hiromi Takahashi, Hiro Hasegawa, Tadashi Takahashi, Anna Ichinohe, Risa Yoshida, Teruhiko Doi, Ayano Yasuhara, Koji Ikuyo, Yoriko Nakamura, Tetsuro |
| AuthorAffiliation | 7 Graduate School of Bioscience and Biotechnology, Chubu University, Kasugai, Aichi, Japan University of Louisville, United States of America 4 Division of Biological Science, Graduate School of Science, Nagoya University, Nagoya, Aichi, Japan 9 Pathology Division, National Cancer Center Hospital, Tokyo, Japan 6 Graduate School of Horticulture, Chiba University, Matsudo, Chiba, Japan 8 Department of Surgical Pathology, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, Japan 3 Department of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan 2 Division of Genetics, National Cancer Center Research Institute, Tokyo, Japan 5 Faculty of Horticulture, Chiba University, Matsudo, Chiba, Japan 1 Plant Biology Research Center, Chubu University, Kasugai, Aichi, Japan |
| AuthorAffiliation_xml | – name: 5 Faculty of Horticulture, Chiba University, Matsudo, Chiba, Japan – name: 9 Pathology Division, National Cancer Center Hospital, Tokyo, Japan – name: 6 Graduate School of Horticulture, Chiba University, Matsudo, Chiba, Japan – name: 8 Department of Surgical Pathology, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, Japan – name: 4 Division of Biological Science, Graduate School of Science, Nagoya University, Nagoya, Aichi, Japan – name: 1 Plant Biology Research Center, Chubu University, Kasugai, Aichi, Japan – name: University of Louisville, United States of America – name: 7 Graduate School of Bioscience and Biotechnology, Chubu University, Kasugai, Aichi, Japan – name: 2 Division of Genetics, National Cancer Center Research Institute, Tokyo, Japan – name: 3 Department of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan |
| Author_xml | – sequence: 1 givenname: Anna surname: Takahashi fullname: Takahashi, Anna – sequence: 2 givenname: Robert surname: Nakayama fullname: Nakayama, Robert – sequence: 3 givenname: Nanako surname: Ishibashi fullname: Ishibashi, Nanako – sequence: 4 givenname: Ayano surname: Doi fullname: Doi, Ayano – sequence: 5 givenname: Risa surname: Ichinohe fullname: Ichinohe, Risa – sequence: 6 givenname: Yoriko surname: Ikuyo fullname: Ikuyo, Yoriko – sequence: 7 givenname: Teruyoshi surname: Takahashi fullname: Takahashi, Teruyoshi – sequence: 8 givenname: Shigetaka surname: Marui fullname: Marui, Shigetaka – sequence: 9 givenname: Koji surname: Yasuhara fullname: Yasuhara, Koji – sequence: 10 givenname: Tetsuro surname: Nakamura fullname: Nakamura, Tetsuro – sequence: 11 givenname: Shintaro surname: Sugita fullname: Sugita, Shintaro – sequence: 12 givenname: Hiromi surname: Sakamoto fullname: Sakamoto, Hiromi – sequence: 13 givenname: Teruhiko surname: Yoshida fullname: Yoshida, Teruhiko – sequence: 14 givenname: Tadashi surname: Hasegawa fullname: Hasegawa, Tadashi – sequence: 15 givenname: Hiro surname: Takahashi fullname: Takahashi, Hiro |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25188299$$D View this record in MEDLINE/PubMed |
| BookMark | eNqNk99u0zAUxiM0xP7AGyCIhITgosVOYsfeBVKZtlExNMQ2bi3HsVNPrl1sh23vwQPjtN20TpOYcpHo-Hc-n3O-k91syzors-w1BGNY1vDTpeu95Wa8SOExgAATAJ9lO5CWxQgXoNy6972d7YZwCQAqCcYvsu0CQUIKSneyv5OkcRN0yJ3Kj6WV-eH1wssQtLP5D--UNnJ5duZUzM91CL3Mz7gXbs7zi6Btl_P8wM0bbXkcchL6zborI9tOjr7wINv8SJso_YBe6TjLpzbKzt_R33sT9cIk1ZhiIWoRXmbPFTdBvlq_97KLo8Pzg6-jk9Pj6cHkZCQwLeKIFIXikiBRiQY3DQZcqEZIRTlqKyqwaCFStGwbVJe45bCEtMYKYClKUuNGlnvZ25XuwrjA1gMNLGG0BgQimojpimgdv2QLr-fc3zDHNVsGnO8Y96lkIxnEShUYAIwwqCApKamhAC3isG0rstRCK63eLvjNFTfmThACNnh6WwIbPGVrT1Pe53WVfTOXrZA2em42itk8sXrGOveHVRBVdep9L_uwFvDudy9DZHMdhDSGW-n61G-qGBFMUZXQdw_Qx6eypjqeGtdWuXSvGETZpIKYpksrkqjxI1R6WjnXInU47NZmwseNhMREeR073ofApmc_n86e_tpk399jZ5KbOAvO9MMGhk3wzf1J34349ndJwP4KEN6F4KViQsflJqfWtPmfj9WD5CfZ_w_uuj8P |
| CitedBy_id | crossref_primary_10_1007_s00432_022_03924_3 crossref_primary_10_1245_s10434_016_5115_5 crossref_primary_10_18632_oncotarget_16270 crossref_primary_10_1038_s41419_022_05243_4 crossref_primary_10_1158_1541_7786_MCR_20_0197 crossref_primary_10_1016_j_yexmp_2020_104487 crossref_primary_10_7554_eLife_41305 crossref_primary_10_3389_fimmu_2021_775761 crossref_primary_10_1186_s12885_019_5501_z crossref_primary_10_1371_journal_pone_0229252 crossref_primary_10_1016_j_gene_2021_145988 crossref_primary_10_1186_s12920_021_00876_4 crossref_primary_10_2198_jelectroph_62_21 crossref_primary_10_1097_MD_0000000000026582 crossref_primary_10_3389_fnins_2023_1146175 crossref_primary_10_3389_fgene_2019_00037 crossref_primary_10_1155_2019_9749751 crossref_primary_10_3389_fonc_2023_1136738 crossref_primary_10_1111_jcmm_12955 crossref_primary_10_1016_j_canlet_2024_216757 crossref_primary_10_1186_s13045_021_01125_y crossref_primary_10_1159_000369906 crossref_primary_10_1007_s00109_018_1717_7 crossref_primary_10_1016_j_cyto_2015_11_011 crossref_primary_10_3748_wjg_v24_i22_2381 |
| Cites_doi | 10.1080/01621459.1958.10501452 10.1093/bioinformatics/18.8.1073 10.1093/bioinformatics/btl156 10.1186/1752-0509-6-S2-S2 10.1093/bioinformatics/bth473 10.1159/000012081 10.1093/nar/gkt1196 10.1093/pcp/pcr115 10.1371/journal.pone.0078250 10.1263/jbb.105.81 10.1263/jbb.106.587 10.1073/pnas.1317608110 10.1016/S1525-1578(10)60628-9 10.1263/jbb.102.46 10.1016/S0002-9440(10)64946-2 10.1200/JCO.2001.19.12.3045 10.1016/j.jbiosc.2012.05.017 10.1073/pnas.95.25.14863 10.1038/nm.2174 10.1186/1471-2105-7-399 10.1038/nature07423 10.1007/s11103-012-9929-7 10.1038/nrc1168 10.1093/pcp/pcr083 10.1200/JCO.1997.15.1.350 10.1186/1752-0509-7-S6-S6 10.1038/nm.2644 10.1016/S0022-2836(05)80360-2 10.5511/plantbiotechnology.26.385 10.1016/S1389-1723(04)00265-8 10.1016/j.jbiosc.2013.05.021 10.1186/1471-2164-12-S3-S20 10.1186/1745-6150-9-5 10.1111/j.1349-7006.2002.tb01225.x 10.1080/14786440109462720 10.1097/00000478-199203000-00001 10.1038/modpathol.3800794 10.1093/nar/22.22.4673 10.1073/pnas.0506580102 10.1016/j.ijcard.2012.10.066 10.1002/ijc.2910330108 10.1053/hupa.2002.30184 10.1016/j.bej.2006.08.004 10.1093/pcp/pcs164 10.1252/jcej.39.767 10.1252/jcej.38.763 10.1093/pcp/pct027 10.1111/j.1349-7006.2010.01590.x 10.1038/ng0894-502 10.1093/nar/gks1094 10.1263/jbb.105.273 10.1242/dev.085365 10.1263/jbb.101.137 10.1093/bioinformatics/bts303 10.1016/S1389-1723(03)90118-6 |
| ContentType | Journal Article |
| Copyright | COPYRIGHT 2014 Public Library of Science 2014 Takahashi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2014 Takahashi et al 2014 Takahashi et al |
| Copyright_xml | – notice: COPYRIGHT 2014 Public Library of Science – notice: 2014 Takahashi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2014 Takahashi et al 2014 Takahashi et al |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM IOV ISR 3V. 7QG 7QL 7QO 7RV 7SN 7SS 7T5 7TG 7TM 7U9 7X2 7X7 7XB 88E 8AO 8C1 8FD 8FE 8FG 8FH 8FI 8FJ 8FK ABJCF ABUWG AEUYN AFKRA ARAPS ATCPS AZQEC BBNVY BENPR BGLVJ BHPHI C1K CCPQU D1I DWQXO FR3 FYUFA GHDGH GNUQQ H94 HCIFZ K9. KB. KB0 KL. L6V LK8 M0K M0S M1P M7N M7P M7S NAPCQ P5Z P62 P64 PATMY PDBOC PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS PTHSS PYCSY RC3 7X8 5PM ADTOC UNPAY DOA |
| DOI | 10.1371/journal.pone.0106801 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Gale In Context: Opposing Viewpoints Gale In Context: Science ProQuest Central (Corporate) Animal Behavior Abstracts Bacteriology Abstracts (Microbiology B) Biotechnology Research Abstracts Nursing & Allied Health Database Ecology Abstracts Entomology Abstracts (Full archive) Immunology Abstracts Meteorological & Geoastrophysical Abstracts Nucleic Acids Abstracts Virology and AIDS Abstracts Agricultural Science Collection Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest Pharma Collection Proquest Public Health Database Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Natural Science Journals Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Agricultural & Environmental Science Database ProQuest Central Essentials Biological Science Collection ProQuest Central ProQuest Technology Collection Natural Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Materials Science Collection ProQuest Central Engineering Research Database Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student AIDS and Cancer Research Abstracts SciTech Premium Collection (Proquest) ProQuest Health & Medical Complete (Alumni) Materials Science Database (Proquest) Nursing & Allied Health Database (Alumni Edition) Meteorological & Geoastrophysical Abstracts - Academic ProQuest Engineering Collection Biological Sciences Agricultural Science Database Health & Medical Collection (Alumni Edition) Medical Database Algology Mycology and Protozoology Abstracts (Microbiology C) ProQuest Biological Science Database Engineering Database (Proquest) Nursing & Allied Health Premium Advanced Technologies & Aerospace Collection ProQuest Advanced Technologies & Aerospace Collection Biotechnology and BioEngineering Abstracts Environmental Science Database Materials Science Collection ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database (Proquest) ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection Environmental Science Collection Genetics Abstracts MEDLINE - Academic PubMed Central (Full Participant titles) Unpaywall for CDI: Periodical Content Unpaywall DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Agricultural Science Database Publicly Available Content Database ProQuest Central Student ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials Nucleic Acids Abstracts SciTech Premium Collection ProQuest Central China Environmental Sciences and Pollution Management ProQuest One Applied & Life Sciences ProQuest One Sustainability Health Research Premium Collection Meteorological & Geoastrophysical Abstracts Natural Science Collection Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) Engineering Collection Advanced Technologies & Aerospace Collection Engineering Database Virology and AIDS Abstracts ProQuest Biological Science Collection ProQuest One Academic Eastern Edition Agricultural Science Collection ProQuest Hospital Collection ProQuest Technology Collection Health Research Premium Collection (Alumni) Biological Science Database Ecology Abstracts ProQuest Hospital Collection (Alumni) Biotechnology and BioEngineering Abstracts Environmental Science Collection Entomology Abstracts Nursing & Allied Health Premium ProQuest Health & Medical Complete ProQuest One Academic UKI Edition Environmental Science Database ProQuest Nursing & Allied Health Source (Alumni) Engineering Research Database ProQuest One Academic Meteorological & Geoastrophysical Abstracts - Academic ProQuest One Academic (New) Technology Collection Technology Research Database ProQuest One Academic Middle East (New) Materials Science Collection ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Pharma Collection ProQuest Central ProQuest Health & Medical Research Collection Genetics Abstracts ProQuest Engineering Collection Biotechnology Research Abstracts Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Bacteriology Abstracts (Microbiology B) Algology Mycology and Protozoology Abstracts (Microbiology C) Agricultural & Environmental Science Collection AIDS and Cancer Research Abstracts Materials Science Database ProQuest Materials Science Collection ProQuest Public Health ProQuest Nursing & Allied Health Source ProQuest SciTech Collection Advanced Technologies & Aerospace Database ProQuest Medical Library Animal Behavior Abstracts Materials Science & Engineering Collection Immunology Abstracts ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic MEDLINE Agricultural Science Database |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 4 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository – sequence: 5 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Sciences (General) Statistics |
| DocumentTitleAlternate | Gene Expression Analysis of STS |
| EISSN | 1932-6203 |
| ExternalDocumentID | 1979708159 oai_doaj_org_article_16ff2600656041839871c0d5a1dd4859 10.1371/journal.pone.0106801 PMC4154757 A416975748 25188299 10_1371_journal_pone_0106801 |
| Genre | Journal Article |
| GroupedDBID | --- 123 29O 2WC 53G 5VS 7RV 7X2 7X7 7XC 88E 8AO 8C1 8CJ 8FE 8FG 8FH 8FI 8FJ A8Z AAFWJ AAUCC AAWOE AAYXX ABDBF ABIVO ABJCF ABUWG ACGFO ACIHN ACIWK ACPRK ACUHS ADBBV ADRAZ AEAQA AENEX AEUYN AFKRA AFPKN AFRAH AHMBA ALMA_UNASSIGNED_HOLDINGS AOIJS APEBS ARAPS ATCPS BAWUL BBNVY BCNDV BENPR BGLVJ BHPHI BKEYQ BPHCQ BVXVI BWKFM CCPQU CITATION CS3 D1I D1J D1K DIK DU5 E3Z EAP EAS EBD EMOBN ESTFP ESX EX3 F5P FPL FYUFA GROUPED_DOAJ GX1 HCIFZ HH5 HMCUK HYE IAO IEA IGS IHR IHW INH INR IOV IPY ISE ISR ITC K6- KB. KQ8 L6V LK5 LK8 M0K M1P M48 M7P M7R M7S M~E NAPCQ O5R O5S OK1 OVT P2P P62 PATMY PDBOC PHGZM PHGZT PIMPY PJZUB PPXIY PQGLB PQQKQ PROAC PSQYO PTHSS PUEGO PYCSY RNS RPM SV3 TR2 UKHRP WOQ WOW ~02 ~KM ALIPV CGR CUY CVF ECM EIF IPNFZ NPM PV9 RIG RZL BBORY 3V. 7QG 7QL 7QO 7SN 7SS 7T5 7TG 7TM 7U9 7XB 8FD 8FK AZQEC C1K DWQXO FR3 GNUQQ H94 K9. KL. M7N P64 PKEHL PQEST PQUKI PRINS RC3 7X8 5PM ADTOC UNPAY AAPBV ABPTK N95 |
| ID | FETCH-LOGICAL-c692t-822fae85c4cb6bb60acfbcef9a5d49c6cd15f93db5736da131976f06ec3876be3 |
| IEDL.DBID | M48 |
| ISSN | 1932-6203 |
| IngestDate | Sun Aug 06 00:15:57 EDT 2023 Tue Oct 14 18:42:22 EDT 2025 Sun Oct 26 04:07:46 EDT 2025 Tue Sep 30 16:45:30 EDT 2025 Wed Oct 01 17:27:53 EDT 2025 Tue Oct 07 07:49:19 EDT 2025 Mon Oct 20 22:12:46 EDT 2025 Mon Oct 20 16:13:41 EDT 2025 Thu Oct 16 15:17:14 EDT 2025 Thu Oct 16 14:36:51 EDT 2025 Thu May 22 20:06:00 EDT 2025 Mon Jul 21 05:39:39 EDT 2025 Wed Oct 01 04:17:35 EDT 2025 Thu Apr 24 23:10:37 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 9 |
| Language | English |
| License | This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. cc-by Creative Commons Attribution License |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c692t-822fae85c4cb6bb60acfbcef9a5d49c6cd15f93db5736da131976f06ec3876be3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Conceived and designed the experiments: HT NI HS TY TH. Performed the experiments: RN SS RI AD YI TT SM KY TN. Analyzed the data: AT HT. Contributed reagents/materials/analysis tools: AT RN HT TH. Contributed to the writing of the manuscript: AT HT. Competing Interests: The authors have declared that no competing interests exist. |
| OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.1371/journal.pone.0106801 |
| PMID | 25188299 |
| PQID | 1979708159 |
| PQPubID | 1436336 |
| ParticipantIDs | plos_journals_1979708159 doaj_primary_oai_doaj_org_article_16ff2600656041839871c0d5a1dd4859 unpaywall_primary_10_1371_journal_pone_0106801 pubmedcentral_primary_oai_pubmedcentral_nih_gov_4154757 proquest_miscellaneous_1560586954 proquest_journals_1979708159 gale_infotracmisc_A416975748 gale_infotracacademiconefile_A416975748 gale_incontextgauss_ISR_A416975748 gale_incontextgauss_IOV_A416975748 gale_healthsolutions_A416975748 pubmed_primary_25188299 crossref_citationtrail_10_1371_journal_pone_0106801 crossref_primary_10_1371_journal_pone_0106801 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2014-09-04 |
| PublicationDateYYYYMMDD | 2014-09-04 |
| PublicationDate_xml | – month: 09 year: 2014 text: 2014-09-04 day: 04 |
| PublicationDecade | 2010 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States – name: San Francisco – name: San Francisco, USA |
| PublicationTitle | PloS one |
| PublicationTitleAlternate | PLoS One |
| PublicationYear | 2014 |
| Publisher | Public Library of Science Public Library of Science (PLoS) |
| Publisher_xml | – name: Public Library of Science – name: Public Library of Science (PLoS) |
| References | ref57 ref15 N Matsuo (ref38) 2009; 26 H Zhou (ref60) 2014; 9 H Takahashi (ref23) 2003; 96 H Takahashi (ref31) 2007; 33 H Zhou (ref61) 2013; 7 L Ding (ref7) 2008; 455 CR Antonescu (ref4) 2000; 2 T Kohno (ref5) 2012; 18 H Takahashi (ref51) 2013; 8 C Arima (ref21) 2008; 105 M Trojani (ref1) 1984; 33 A Franceschini (ref62) 2013; 41 A Subramanian (ref24) 2005; 102 ref47 H Takahashi (ref46) 2013; 116 H Takahashi (ref48) 2013; 54 K Yoshimura (ref43) 2011; 52 T Hasegawa (ref9) 2002; 33 CD Fletcher (ref12) 2001; 19 H Takahashi (ref26) 2005; 21 Y Chiba (ref41) 2013; 54 D Portal (ref44) 2013; 110 MB Eisen (ref20) 1998; 95 S Tomida (ref22) 2002; 18 T Hasegawa (ref54) 2000; 58 SF Altschul (ref16) 1990; 215 A Nakagawa (ref42) 2012; 79 N Kotooka (ref35) 2013; 167 F Chibon (ref59) 2010; 16 M Iwasaki (ref50) 2013; 140 M Sano (ref40) 2010; 36 CD Fletcher (ref10) 1992; 16 H Takahashi (ref14) 2006; 7 H Takahashi (ref19) 2012; 114 L Guillou (ref2) 1997; 15 I Yajima (ref39) 2012; 2 R Nakayama (ref13) 2007; 20 S Kojima (ref49) 2011; 52 H Zhou (ref34) 2011; 12 H Takahashi (ref25) 2006; 22 H Takahashi (ref18) 2012; 28 H Takahashi (ref32) 2006; 101 J Clark (ref3) 1994; 7 ML Lux (ref6) 2000; 156 H Takahashi (ref29) 2004; 98 T Yoshida (ref52) 2010; 101 EL Kaplan (ref55) 1958; 53 H Zhou (ref33) 2012; 6 LJ Helman (ref8) 2003; 3 JD Thompson (ref17) 1994; 22 T Kawamura (ref27) 2008; 105 H Takahashi (ref45) 2008; 106 T Ando (ref28) 2002; 93 H Takahashi (ref30) 2005; 38 H Takahashi (ref37) 2006; 102 Y Benjamini (ref58) 1995; 57 N Mantel (ref53) 1966; 50 P Flicek (ref56) 2014; 42 H Takahashi (ref36) 2006; 39 K Hollowood (ref11) 1995; 12 22369691 - BMC Genomics. 2011 Nov 30;12 Suppl 3:S20 2231712 - J Mol Biol. 1990 Oct 5;215(3):403-10 22684430 - Plant Mol Biol. 2012 Aug;79(6):569-81 23396601 - Plant Cell Physiol. 2013 Mar;54(3):418-31 23571218 - Development. 2013 May;140(9):1958-69 5910392 - Cancer Chemother Rep. 1966 Mar;50(3):163-70 24708540 - Biol Direct. 2014;9:5 10702394 - Am J Pathol. 2000 Mar;156(3):791-5 23816762 - J Biosci Bioeng. 2013 Dec;116(6):768-73 21862516 - Plant Cell Physiol. 2011 Oct;52(10):1786-805 18948947 - Nature. 2008 Oct 23;455(7216):1069-75 16233689 - J Biosci Bioeng. 2004;98(3):193-9 24316576 - Nucleic Acids Res. 2014 Jan;42(Database issue):D749-55 11823981 - Hum Pathol. 2002 Jan;33(1):111-5 16948864 - BMC Bioinformatics. 2006;7:399 22327624 - Nat Med. 2012 Mar;18(3):375-7 6693192 - Int J Cancer. 1984 Jan 15;33(1):37-42 20507324 - Cancer Sci. 2010 Jul;101(7):1582-9 23203871 - Nucleic Acids Res. 2013 Jan;41(Database issue):D808-15 23194783 - Int J Cardiol. 2013 Aug 10;167(3):1068-70 16569609 - J Biosci Bioeng. 2006 Feb;101(2):137-41 18295727 - J Biosci Bioeng. 2008 Jan;105(1):81-4 10644943 - Oncology. 2000;58(1):66-74 20043065 - Int J Oncol. 2010 Feb;36(2):321-30 11229517 - J Mol Diagn. 2000 Aug;2(3):132-8 22721688 - J Biosci Bioeng. 2012 Nov;114(5):570-5 7951320 - Nat Genet. 1994 Aug;7(4):502-8 15308545 - Bioinformatics. 2005 Jan 15;21(2):179-86 22679562 - Am J Cancer Res. 2012;2(3):322-9 12460461 - Jpn J Cancer Res. 2002 Nov;93(11):1207-12 16199517 - Proc Natl Acad Sci U S A. 2005 Oct 25;102(43):15545-50 25127363 - PLoS One. 2014;9(8):e105160 16632489 - Bioinformatics. 2006 Jul 1;22(13):1662-4 8545588 - Semin Diagn Pathol. 1995 Aug;12(3):210-20 24564941 - BMC Syst Biol. 2013;7 Suppl 6:S6 16952836 - J Biosci Bioeng. 2006 Jul;102(1):46-52 24167291 - Proc Natl Acad Sci U S A. 2013 Nov 12;110(46):18537-42 16233501 - J Biosci Bioeng. 2003;96(2):154-60 24167613 - PLoS One. 2013;8(10):e78250 20581836 - Nat Med. 2010 Jul;16(7):781-7 12176830 - Bioinformatics. 2002 Aug;18(8):1073-83 17464315 - Mod Pathol. 2007 Jul;20(7):749-59 9843981 - Proc Natl Acad Sci U S A. 1998 Dec 8;95(25):14863-8 18397779 - J Biosci Bioeng. 2008 Mar;105(3):273-81 1317996 - Am J Surg Pathol. 1992 Mar;16(3):213-28 19134556 - J Biosci Bioeng. 2008 Dec;106(6):587-93 23282057 - BMC Syst Biol. 2012;6 Suppl 2:S2 11408500 - J Clin Oncol. 2001 Jun 15;19(12):3045-50 22618534 - Bioinformatics. 2012 Sep 1;28(17):2231-41 21700721 - Plant Cell Physiol. 2011 Aug;52(8):1259-73 12951587 - Nat Rev Cancer. 2003 Sep;3(9):685-94 8996162 - J Clin Oncol. 1997 Jan;15(1):350-62 23220693 - Plant Cell Physiol. 2013 Feb;54(2):180-94 7984417 - Nucleic Acids Res. 1994 Nov 11;22(22):4673-80 |
| References_xml | – volume: 53 start-page: 457 year: 1958 ident: ref55 article-title: Nonparametric estimation from incomplete observations publication-title: J Amer Statist Assn doi: 10.1080/01621459.1958.10501452 – volume: 18 start-page: 1073 year: 2002 ident: ref22 article-title: Analysis of expression profile using fuzzy adaptive resonance theory publication-title: Bioinformatics doi: 10.1093/bioinformatics/18.8.1073 – volume: 22 start-page: 1662 year: 2006 ident: ref25 article-title: Modified signal-to-noise: a new simple and practical gene filtering approach based on the concept of projective adaptive resonance theory (PART) filtering method publication-title: Bioinformatics doi: 10.1093/bioinformatics/btl156 – volume: 6 start-page: S2 year: 2012 ident: ref33 article-title: IntPath–an integrated pathway gene relationship database for model organisms and important pathogens publication-title: BMC Syst Biol doi: 10.1186/1752-0509-6-S2-S2 – volume: 21 start-page: 179 year: 2005 ident: ref26 article-title: Construction of robust prognostic predictors by using projective adaptive resonance theory as a gene filtering method publication-title: Bioinformatics doi: 10.1093/bioinformatics/bth473 – volume: 58 start-page: 66 year: 2000 ident: ref54 article-title: Prognostic relevance of a histological grading system using MIB-1 for adult soft-tissue sarcoma publication-title: Oncology doi: 10.1159/000012081 – volume: 42 start-page: D749 year: 2014 ident: ref56 article-title: Ensembl 2014 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkt1196 – volume: 52 start-page: 1786 year: 2011 ident: ref43 article-title: Identification of alternative splicing events regulated by an Arabidopsis serine/arginine-like protein, atSR45a, in response to high-light stress using a tiling array publication-title: Plant Cell Physiol doi: 10.1093/pcp/pcr115 – volume: 8 start-page: e78250 year: 2013 ident: ref51 article-title: Macrophage migration inhibitory factor and stearoyl-CoA desaturase 1: potential prognostic markers for soft tissue sarcomas based on bioinformatics analyses publication-title: PLoS One doi: 10.1371/journal.pone.0078250 – volume: 105 start-page: 81 year: 2008 ident: ref27 article-title: Proposal of new gene filtering method, BagPART, for gene expression analysis with small sample publication-title: J Biosci Bioeng doi: 10.1263/jbb.105.81 – volume: 106 start-page: 587 year: 2008 ident: ref45 article-title: Knowledge-based fuzzy adaptive resonance theory and its application to the analysis of gene expression in plants publication-title: J Biosci Bioeng doi: 10.1263/jbb.106.587 – volume: 110 start-page: 18537 year: 2013 ident: ref44 article-title: Epstein-Barr virus nuclear antigen leader protein localizes to promoters and enhancers with cell transcription factors and EBNA2 publication-title: Proc Natl Acad Sci USA doi: 10.1073/pnas.1317608110 – volume: 2 start-page: 132 year: 2000 ident: ref4 article-title: Specificity of TLS-CHOP rearrangement for classic myxoid/round cell liposarcoma: absence in predominantly myxoid well-differentiated liposarcomas publication-title: J Mol Diagn doi: 10.1016/S1525-1578(10)60628-9 – volume: 102 start-page: 46 year: 2006 ident: ref37 article-title: Classification of intramural metastases and lymph node metastases of esophageal cancer from gene expression based on boosting and projective adaptive resonance theory publication-title: J Biosci Bioeng doi: 10.1263/jbb.102.46 – volume: 156 start-page: 791 year: 2000 ident: ref6 article-title: KIT extracellular and kinase domain mutations in gastrointestinal stromal tumors publication-title: Am J Pathol doi: 10.1016/S0002-9440(10)64946-2 – volume: 19 start-page: 3045 year: 2001 ident: ref12 article-title: Clinicopathologic re-evaluation of 100 malignant fibrous histiocytomas: prognostic relevance of subclassification publication-title: J Clin Oncol doi: 10.1200/JCO.2001.19.12.3045 – volume: 114 start-page: 570 year: 2012 ident: ref19 article-title: Discovery of novel rules for G-quadruplex-forming sequences in plants by using bioinformatics methods publication-title: J Biosci Bioeng doi: 10.1016/j.jbiosc.2012.05.017 – volume: 2 start-page: 322 year: 2012 ident: ref39 article-title: Reduced GNG2 expression levels in mouse malignant melanomas and human melanoma cell lines publication-title: Am J Cancer Res – volume: 95 start-page: 14863 year: 1998 ident: ref20 article-title: Cluster analysis and display of genome-wide expression patterns publication-title: Proc Natl Acad Sci USA doi: 10.1073/pnas.95.25.14863 – volume: 16 start-page: 781 year: 2010 ident: ref59 article-title: Validated prediction of clinical outcome in sarcomas and multiple types of cancer on the basis of a gene expression signature related to genome complexity publication-title: Nat Med doi: 10.1038/nm.2174 – volume: 7 start-page: 399 year: 2006 ident: ref14 article-title: Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive resonance theory (PART) filtering method publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-7-399 – volume: 455 start-page: 1069 year: 2008 ident: ref7 article-title: Somatic mutations affect key pathways in lung adenocarcinoma publication-title: Nature doi: 10.1038/nature07423 – volume: 79 start-page: 569 year: 2012 ident: ref42 article-title: Berberine enhances defects in the establishment of leaf polarity in asymmetric leaves1 and asymmetric leaves2 of Arabidopsis thaliana publication-title: Plant Mol Biol doi: 10.1007/s11103-012-9929-7 – volume: 3 start-page: 685 year: 2003 ident: ref8 article-title: Mechanisms of sarcoma development publication-title: Nat Rev Cancer doi: 10.1038/nrc1168 – volume: 52 start-page: 1259 year: 2011 ident: ref49 article-title: Asymmetric leaves2 and Elongator, a histone acetyltransferase complex, mediate the establishment of polarity in leaves of Arabidopsis thaliana publication-title: Plant Cell Physiol doi: 10.1093/pcp/pcr083 – volume: 15 start-page: 350 year: 1997 ident: ref2 article-title: Comparative study of the National Cancer Institute and French Federation of Cancer Centers Sarcoma Group grading systems in a population of 410 adult patients with soft tissue sarcoma publication-title: J Clin Oncol doi: 10.1200/JCO.1997.15.1.350 – volume: 7 start-page: S6 year: 2013 ident: ref61 article-title: Stringent DDI-based prediction of H. sapiens-M. tuberculosis H37Rv protein-protein interactions publication-title: BMC Syst Biol doi: 10.1186/1752-0509-7-S6-S6 – volume: 18 start-page: 375 year: 2012 ident: ref5 article-title: KIF5B-RET fusions in lung adenocarcinoma publication-title: Nat Med doi: 10.1038/nm.2644 – volume: 215 start-page: 403 year: 1990 ident: ref16 article-title: Basic local alignment search tool publication-title: J Mol Biol doi: 10.1016/S0022-2836(05)80360-2 – volume: 26 start-page: 385 year: 2009 ident: ref38 article-title: Identification of ENHANCER OF SHOOT REGENERATION 1-upregulated genes during in vitro shoot regeneration publication-title: Plant Biotechnol doi: 10.5511/plantbiotechnology.26.385 – volume: 36 start-page: 321 year: 2010 ident: ref40 article-title: Forkhead box A1 transcriptional pathway in KRT7-expressing esophageal squamous cell carcinomas with extensive lymph node metastasis publication-title: Int J Oncol – volume: 98 start-page: 193 year: 2004 ident: ref29 article-title: Prognostic predictor with multiple fuzzy neural models using expression profiles from DNA microarray for metastases of breast cancer publication-title: J Biosci Bioeng doi: 10.1016/S1389-1723(04)00265-8 – volume: 116 start-page: 768 year: 2013 ident: ref46 article-title: Identification of a candidate single-nucleotide polymorphism related to chemotherapeutic response through a combination of knowledge-based algorithm and hypothesis-free genomic data publication-title: J Biosci Bioeng doi: 10.1016/j.jbiosc.2013.05.021 – ident: ref47 – volume: 12 start-page: S20 year: 2011 ident: ref34 article-title: Comparative analysis and assessment of M. tuberculosis H37Rv protein-protein interaction datasets publication-title: BMC Genomics doi: 10.1186/1471-2164-12-S3-S20 – volume: 9 start-page: 5 year: 2014 ident: ref60 article-title: Stringent homology-based prediction of H. sapiens-M. tuberculosis H37Rv protein-protein interactions publication-title: Biol Direct doi: 10.1186/1745-6150-9-5 – volume: 93 start-page: 1207 year: 2002 ident: ref28 article-title: Fuzzy neural network applied to gene expression profiling for predicting the prognosis of diffuse large B-cell lymphoma publication-title: Jpn J Cancer Res doi: 10.1111/j.1349-7006.2002.tb01225.x – ident: ref57 doi: 10.1080/14786440109462720 – volume: 16 start-page: 213 year: 1992 ident: ref10 article-title: Pleomorphic malignant fibrous histiocytoma: fact or fiction? A critical reappraisal based on 159 tumors diagnosed as pleomorphic sarcoma publication-title: Am J Surg Pathol doi: 10.1097/00000478-199203000-00001 – volume: 20 start-page: 749 year: 2007 ident: ref13 article-title: Gene expression analysis of soft tissue sarcomas: characterization and reclassification of malignant fibrous histiocytoma publication-title: Mod Pathol doi: 10.1038/modpathol.3800794 – volume: 22 start-page: 4673 year: 1994 ident: ref17 article-title: CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice publication-title: Nucleic Acids Res doi: 10.1093/nar/22.22.4673 – volume: 50 start-page: 163 year: 1966 ident: ref53 article-title: Evaluation of survival data and two new rank order statistics arising in its consideration publication-title: Cancer Chemoth Rep – volume: 102 start-page: 15545 year: 2005 ident: ref24 article-title: Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles publication-title: Proc Natl Acad Sci USA doi: 10.1073/pnas.0506580102 – volume: 12 start-page: 210 year: 1995 ident: ref11 article-title: Malignant fibrous histiocytoma: morphologic pattern or pathologic entity? publication-title: Semin Diagn Pathol – volume: 167 start-page: 1068 year: 2013 ident: ref35 article-title: Predictive value of high-molecular weight adiponectin in subjects with a higher risk of the development of metabolic syndrome: From a population based 5-year follow-up data publication-title: Int J Cardiol doi: 10.1016/j.ijcard.2012.10.066 – volume: 33 start-page: 37 year: 1984 ident: ref1 article-title: Soft-tissue sarcomas of adults; study of pathological prognostic variables and definition of a histopathological grading system publication-title: Int J Cancer doi: 10.1002/ijc.2910330108 – volume: 33 start-page: 111 year: 2002 ident: ref9 article-title: Validity and reproducibility of histologic diagnosis and grading for adult soft-tissue sarcomas publication-title: Hum Pathol doi: 10.1053/hupa.2002.30184 – volume: 33 start-page: 100 year: 2007 ident: ref31 article-title: New cancer diagnosis modeling using boosting and projective adaptive resonance theory with improved reliable index publication-title: Biochem Eng J doi: 10.1016/j.bej.2006.08.004 – volume: 54 start-page: 180 year: 2013 ident: ref41 article-title: Changes in mRNA stability associated with cold stress in Arabidopsis cells publication-title: Plant Cell Physiol doi: 10.1093/pcp/pcs164 – volume: 39 start-page: 767 year: 2006 ident: ref36 article-title: Lymphoma prognostication from expression profiling using a combination method of boosting and projective adaptive resonance theory publication-title: J Chem Eng Jpn doi: 10.1252/jcej.39.767 – volume: 38 start-page: 763 year: 2005 ident: ref30 article-title: A new reliable cancer diagnosis method using boosted fuzzy classifier with a SWEEP operator method publication-title: J Chem Eng Jpn doi: 10.1252/jcej.38.763 – volume: 54 start-page: 418 year: 2013 ident: ref48 article-title: Meta-analyses of microarrays of arabidopsis asymmetric leaves1 (as1), as2 and their modifying mutants reveal a critical role for the ETT pathway in stabilization of adaxial-abaxial patterning and cell division during leaf development publication-title: Plant Cell Physiol doi: 10.1093/pcp/pct027 – volume: 101 start-page: 1582 year: 2010 ident: ref52 article-title: Genome-wide germline analyses on cancer susceptibility and GeMDBJ database: Gastric cancer as an example publication-title: Cancer Sci doi: 10.1111/j.1349-7006.2010.01590.x – ident: ref15 – volume: 7 start-page: 502 year: 1994 ident: ref3 article-title: Identification of novel genes, SYT and SSX, involved in the t(X;18)(p11.2;q11.2) translocation found in human synovial sarcoma publication-title: Nat Genet doi: 10.1038/ng0894-502 – volume: 41 start-page: D808 year: 2013 ident: ref62 article-title: STRING v9.1: protein-protein interaction networks, with increased coverage and integration publication-title: Nucleic Acids Res doi: 10.1093/nar/gks1094 – volume: 105 start-page: 273 year: 2008 ident: ref21 article-title: Modified fuzzy gap statistic for estimating preferable number of clusters in fuzzy k-means clustering publication-title: J Biosci Bioeng doi: 10.1263/jbb.105.273 – volume: 57 start-page: 298 year: 1995 ident: ref58 article-title: Controlling the false discovery rate: a practical and powerful approach to multiple testing publication-title: J R Statist Soc serB – volume: 140 start-page: 1958 year: 2013 ident: ref50 article-title: Dual regulation of ETTIN (ARF3) gene expression by AS1–AS2, which maintains the DNA methylation level, is involved in stabilization of leaf adaxial-abaxial partitioning in Arabidopsis publication-title: Development doi: 10.1242/dev.085365 – volume: 101 start-page: 137 year: 2006 ident: ref32 article-title: Prediction of peptide binding to major histocompatibility complex class II molecules through use of boosted fuzzy classifier with SWEEP operator method publication-title: J Biosci Bioeng doi: 10.1263/jbb.101.137 – volume: 28 start-page: 2231 year: 2012 ident: ref18 article-title: BAIUCAS: a novel BLAST-based algorithm for the identification of upstream open reading frames with conserved amino acid sequences and its application to the Arabidopsis thaliana genome publication-title: Bioinformatics doi: 10.1093/bioinformatics/bts303 – volume: 96 start-page: 154 year: 2003 ident: ref23 article-title: Inference of common genetic network using fuzzy adaptive resonance theory associated matrix method publication-title: J Biosci Bioeng doi: 10.1016/S1389-1723(03)90118-6 – reference: 23203871 - Nucleic Acids Res. 2013 Jan;41(Database issue):D808-15 – reference: 24167291 - Proc Natl Acad Sci U S A. 2013 Nov 12;110(46):18537-42 – reference: 16948864 - BMC Bioinformatics. 2006;7:399 – reference: 23282057 - BMC Syst Biol. 2012;6 Suppl 2:S2 – reference: 16632489 - Bioinformatics. 2006 Jul 1;22(13):1662-4 – reference: 22679562 - Am J Cancer Res. 2012;2(3):322-9 – reference: 16569609 - J Biosci Bioeng. 2006 Feb;101(2):137-41 – reference: 23194783 - Int J Cardiol. 2013 Aug 10;167(3):1068-70 – reference: 12460461 - Jpn J Cancer Res. 2002 Nov;93(11):1207-12 – reference: 6693192 - Int J Cancer. 1984 Jan 15;33(1):37-42 – reference: 5910392 - Cancer Chemother Rep. 1966 Mar;50(3):163-70 – reference: 23571218 - Development. 2013 May;140(9):1958-69 – reference: 11229517 - J Mol Diagn. 2000 Aug;2(3):132-8 – reference: 20507324 - Cancer Sci. 2010 Jul;101(7):1582-9 – reference: 24708540 - Biol Direct. 2014;9:5 – reference: 22327624 - Nat Med. 2012 Mar;18(3):375-7 – reference: 16952836 - J Biosci Bioeng. 2006 Jul;102(1):46-52 – reference: 20043065 - Int J Oncol. 2010 Feb;36(2):321-30 – reference: 8545588 - Semin Diagn Pathol. 1995 Aug;12(3):210-20 – reference: 22618534 - Bioinformatics. 2012 Sep 1;28(17):2231-41 – reference: 15308545 - Bioinformatics. 2005 Jan 15;21(2):179-86 – reference: 10702394 - Am J Pathol. 2000 Mar;156(3):791-5 – reference: 22369691 - BMC Genomics. 2011 Nov 30;12 Suppl 3:S20 – reference: 16233501 - J Biosci Bioeng. 2003;96(2):154-60 – reference: 21862516 - Plant Cell Physiol. 2011 Oct;52(10):1786-805 – reference: 7984417 - Nucleic Acids Res. 1994 Nov 11;22(22):4673-80 – reference: 22684430 - Plant Mol Biol. 2012 Aug;79(6):569-81 – reference: 23816762 - J Biosci Bioeng. 2013 Dec;116(6):768-73 – reference: 20581836 - Nat Med. 2010 Jul;16(7):781-7 – reference: 24167613 - PLoS One. 2013;8(10):e78250 – reference: 10644943 - Oncology. 2000;58(1):66-74 – reference: 18948947 - Nature. 2008 Oct 23;455(7216):1069-75 – reference: 24564941 - BMC Syst Biol. 2013;7 Suppl 6:S6 – reference: 23396601 - Plant Cell Physiol. 2013 Mar;54(3):418-31 – reference: 18295727 - J Biosci Bioeng. 2008 Jan;105(1):81-4 – reference: 1317996 - Am J Surg Pathol. 1992 Mar;16(3):213-28 – reference: 25127363 - PLoS One. 2014;9(8):e105160 – reference: 22721688 - J Biosci Bioeng. 2012 Nov;114(5):570-5 – reference: 23220693 - Plant Cell Physiol. 2013 Feb;54(2):180-94 – reference: 19134556 - J Biosci Bioeng. 2008 Dec;106(6):587-93 – reference: 11823981 - Hum Pathol. 2002 Jan;33(1):111-5 – reference: 16233689 - J Biosci Bioeng. 2004;98(3):193-9 – reference: 2231712 - J Mol Biol. 1990 Oct 5;215(3):403-10 – reference: 12951587 - Nat Rev Cancer. 2003 Sep;3(9):685-94 – reference: 9843981 - Proc Natl Acad Sci U S A. 1998 Dec 8;95(25):14863-8 – reference: 7951320 - Nat Genet. 1994 Aug;7(4):502-8 – reference: 21700721 - Plant Cell Physiol. 2011 Aug;52(8):1259-73 – reference: 8996162 - J Clin Oncol. 1997 Jan;15(1):350-62 – reference: 11408500 - J Clin Oncol. 2001 Jun 15;19(12):3045-50 – reference: 18397779 - J Biosci Bioeng. 2008 Mar;105(3):273-81 – reference: 24316576 - Nucleic Acids Res. 2014 Jan;42(Database issue):D749-55 – reference: 17464315 - Mod Pathol. 2007 Jul;20(7):749-59 – reference: 16199517 - Proc Natl Acad Sci U S A. 2005 Oct 25;102(43):15545-50 – reference: 12176830 - Bioinformatics. 2002 Aug;18(8):1073-83 |
| SSID | ssj0053866 |
| Score | 2.2848356 |
| Snippet | The diagnosis and treatment of soft tissue sarcomas (STS) have been difficult. Of the diverse histological subtypes, undifferentiated pleomorphic sarcoma (UPS)... |
| SourceID | plos doaj unpaywall pubmedcentral proquest gale pubmed crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
| StartPage | e106801 |
| SubjectTerms | Algorithms Analysis Biomarkers, Tumor - genetics Biotechnology Cancer Cell cycle Cell division Data processing Delivery services Deoxyribonucleic acid Diagnosis Differential diagnosis DNA DNA methylation DNA microarrays DNA repair Female Filtration Fuzzy logic Gene expression Gene Expression Profiling Gene Expression Regulation, Neoplastic Genes Genetics Genomes Genomics Horticulture Humans Hypoxia Identification Integration Knowledge Bases Knowledge bases (artificial intelligence) Male Markers Medical diagnosis Medical prognosis Medicine and Health Sciences Middle Aged Neoplasm Proteins - genetics Neural networks Oligonucleotide Array Sequence Analysis Pathology Patients Permutations Plant biology Prognosis Proteins Research and Analysis Methods Sarcoma Sarcoma - diagnosis Sarcoma - genetics Sarcoma - metabolism Sarcoma - mortality Soft Tissue Neoplasms - diagnosis Soft Tissue Neoplasms - genetics Soft Tissue Neoplasms - metabolism Soft Tissue Neoplasms - mortality Soft tissue sarcoma Software Stat1 protein STAT1 Transcription Factor - genetics Statistical analysis Statistics Survival Survival Analysis Tissues Tuberculosis Tumors Variance analysis |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Nb9QwELXQXuCCKF8NXcAgJOCQ7WZjO86xIKqCBEhAUW-W7dgFaUlWTVbA_-AHM-M4USMqtQcuK-16Eq3nzYzHycwzIc_sSqyMZHlqXW5SxjEOltqn0njYPsNnHrrS3n8QR8fs3Qk_OXfUF9aE9fTAveL2M-E9kqgjSQzD5RwyfLusuM6qikkeWveWshw2U30MBi8WIjbK5UW2H3FZbJraLXAXJOMhMMNCFPj6x6g826yb9qKU89_KyevbeqN__9Tr9bll6fAWuRnzSXrQz2OHXHP1bbITPbalLyKt9Ms75M_AP0IbT8FsHHW_YhVsTePR3WGshchMuwAIbcEPmh-aYnn8KdUUvsBWOqCJouMTuRRXw4rCPbrAbUjx-S4duCii9FC8SLGLqSeIvkuOD998eX2UxjMZUivKVZdCPuG1k9wya4QxYqmtN9b5UvOKlVbYKuOAcmV4kYtKZ-DhhfBL4WwOcde4_B6Z1YDCLqEZyMLVzElWMau5EQKWSmE0YOelkQnJB4CUjYTleG7GWoW3cAVsXHodK4RVRVgTko5XbXrCjkvkXyH2oyzSbYcfwAhVNEJ1mREm5DFajup7V8egoQ4g3S0LXjCYzNMggZQbNdb0nOpt26q3H79eQejzp4nQ8yjkG1CH1bGPAuaEhjKRnE8kIXDYyfAu2vmglVYBVGUBKSLOZz7Y_sXDT8ZhvCnW6dWu2YIMx9fsouQsIfd7Vxk1u0LuP8h-ElJMnGii-ulI_f1bYDyHLJPBf07IYnS3K4H74H-Au0duQJbMQmEhm5NZd7Z1DyET7cyjEHT-AtX5igM priority: 102 providerName: Directory of Open Access Journals – databaseName: ProQuest Central dbid: BENPR link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwELbK9gCXivJqoIBBSMAh283GdpIDQl20qxbUpeoD9Rb5EZdKS7J0dwX8D34wM44TiKiglxziz1Hs8YzH9vgbQl7ooRiqlMWhLmIVMo52MJM2TJWF5TM8Y3cr7WAq9k7Z-zN-tkamzV0YDKtsbKIz1KbSuEe-E2VJlsD8xbO3868hZo3C09UmhYb0qRXMG0cxdoOsD5EZq0fWR-Pp4VFjm0G7hfAX6OIk2vHy6s-rsujj6ij1yWGaCcrx-LfWujefVYurXNG_Iypvrsq5_PFNzmZ_TFeT22TD-5l0tx4Ym2StKO-QTa_JC_rK002_vkt-NrwktLIUX9Pxdx8dW9LDOqW3KzsGi01PnKDoMehH9UVSF3FAJQWzAktsJ2WEfmh26sIRzJKGTi7wUB6huO9L9z1HhUcf-KBGip5vTRx9j5xOxifv9kKfqyHUIhsuQ_AzrCxSrplWQikxkNoqXdhMcsMyLbSJOEjfKJ7EwsgIND8RdiAKHYM9VkV8n_RKkMIWoRFgoTYrUmaYllwJAVOoUBJkZ1OVBiRuBJRrT2SO-TRmuTudS2BBU_dxjmLNvVgDEra15jWRx3_wI5R9i0UabveiujzPvVbnkbAWGf6RwYihrwnLTz0wXEbGsJRnAXmKIyev77S2xiTfBTc4S3jCoDHPHQKpOEqM9TmXq8Ui3__46Rqg46MO6KUH2Qq6Q0t_vwLahAOlg9zuIMGg6E7xFo7zplcW-W_Vg5rN2L-6-FlbjB_F-L2yqFaA4Xj8LjLOAvKgVpW2Z4fICQheUUCSjhJ1ur5bUl58dkzo4H0y-OeA9Ft1u5ZwH_67HY_ILfCLmQslZNukt7xcFY_B91yqJ96g_AK04Igi priority: 102 providerName: ProQuest – databaseName: Unpaywall dbid: UNPAY link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELbK9gAXoLwaWMAgxOOQdJPYTnLcoq5aUEvFdlE5oMh2EqhYkhWbFY8Dv4IfzIzjRASKKAcuq1X8OYrH4_GMPf5MyAMdiEDFLHR1HiqXcbSDiSzcWBUQPsNvaE6l7R-I3Rl7dsyP18ib9iyMlSDEiPNqaXby8U9V5ltWklvIV9Tsnnp-GPltDW8BIA8jHLC5Dw3jEK6M1XgA6RxZFxxc9QFZnx0cjl83O82BK4JRaI_T_elNvenKsPp3tnuAX3aaY_p7fuX5VbmQXz7J-fynyWtyiXxrm93krLz3VrXy9NdfGCH_m1wuk4vW7aXj5i0bZC0vr5ANa1iW9LFlv35ylXxvaVJoVVB8THc-22Tdkh42N4ybsilMIPTI6A2dwnCtPkhqEiCopGDlIOI3SofQ5-3CobsNk3ZGJyeYI4BQXIame5Yyw6L3bY4lRUe84bG-RmaTnaOnu669OsLVIglqF9yeQuYx10wroZQYSV0onReJ5BlLtNCZz0EZM8WjUGTSB0MUiWIkch3C9KDy8DoZlCC4TUJ9wEJtlscsY1pyJQTM6ELJWIgiVrFDwlZDUm151fF6j3lqNgsjiK8aGafYE6ntCYe4Xa1FwyvyF_w2Kl-HRVZw8wBUIbUqkPqiKPDCASRUYuj6QjSsRxmXfpaxmCcOuYuqmzZHbDvblo7BK08iHjFozH2DQGaQElOP3srVcpnuvXh1BtD0ZQ_0yIKKCsShpT3uAW1CRekhhz0k2DfdK95EVW-lskyhq5IIPFlsz7AdfKcX3-uK8aWYTljm1QowHLMBRMKZQ240Y7WTbIAUheCkOSTqjeKe6Psl5ck7Q8wOzjCDb3aI1433M3XuzX-tcItcAMedmVxHNiSD-uMqvw3Oca3uWBP3A9KwwSI priority: 102 providerName: Unpaywall |
| Title | Analysis of Gene Expression Profiles of Soft Tissue Sarcoma Using a Combination of Knowledge-Based Filtering with Integration of Multiple Statistics |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/25188299 https://www.proquest.com/docview/1979708159 https://www.proquest.com/docview/1560586954 https://pubmed.ncbi.nlm.nih.gov/PMC4154757 https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0106801&type=printable https://doaj.org/article/16ff2600656041839871c0d5a1dd4859 http://dx.doi.org/10.1371/journal.pone.0106801 |
| UnpaywallVersion | publishedVersion |
| Volume | 9 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVFSB databaseName: Free Full-Text Journals in Chemistry customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: HH5 dateStart: 20060101 isFulltext: true titleUrlDefault: http://abc-chemistry.org/ providerName: ABC ChemistRy – providerCode: PRVAFT databaseName: Open Access Digital Library customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: KQ8 dateStart: 20060101 isFulltext: true titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html providerName: Colorado Alliance of Research Libraries – providerCode: PRVAFT databaseName: Open Access Digital Library customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: KQ8 dateStart: 20061001 isFulltext: true titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html providerName: Colorado Alliance of Research Libraries – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: DOA dateStart: 20060101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVEBS databaseName: EBSCOhost Academic Search Ultimate customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn eissn: 1932-6203 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: ABDBF dateStart: 20080101 isFulltext: true titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn providerName: EBSCOhost – providerCode: PRVEBS databaseName: EBSCOhost Food Science Source customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: A8Z dateStart: 20080101 isFulltext: true titleUrlDefault: https://search.ebscohost.com/login.aspx?authtype=ip,uid&profile=ehost&defaultdb=fsr providerName: EBSCOhost – providerCode: PRVBFR databaseName: Free Medical Journals customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: DIK dateStart: 20060101 isFulltext: true titleUrlDefault: http://www.freemedicaljournals.com providerName: Flying Publisher – providerCode: PRVFQY databaseName: GFMER Free Medical Journals customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: GX1 dateStart: 20060101 isFulltext: true titleUrlDefault: http://www.gfmer.ch/Medical_journals/Free_medical.php providerName: Geneva Foundation for Medical Education and Research – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: M~E dateStart: 20060101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVAQN databaseName: PubMed Central customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: RPM dateStart: 20060101 isFulltext: true titleUrlDefault: https://www.ncbi.nlm.nih.gov/pmc/ providerName: National Library of Medicine – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: 7X7 dateStart: 20061201 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: Proquest Central customDbUrl: http://www.proquest.com/pqcentral?accountid=15518 eissn: 1932-6203 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: BENPR dateStart: 20061201 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Technology Collection customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: 8FG dateStart: 20061201 isFulltext: true titleUrlDefault: https://search.proquest.com/technologycollection1 providerName: ProQuest – providerCode: PRVPQU databaseName: Public Health Database customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: 8C1 dateStart: 20061201 isFulltext: true titleUrlDefault: https://search.proquest.com/publichealth providerName: ProQuest – providerCode: PRVFZP databaseName: Scholars Portal Journals: Open Access customDbUrl: eissn: 1932-6203 dateEnd: 20250930 omitProxy: true ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: M48 dateStart: 20061201 isFulltext: true titleUrlDefault: http://journals.scholarsportal.info providerName: Scholars Portal |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3db9MwELdG9wAviPG1QCkGIQEPqZrGcZIHhNqpZQO1VOuKuqfIdpIxqSSlH2L7P_iDuXOciIhO7CUP9s9V7fOdz_b5d4S8UV3elQFzbZW40mYe2sFQpHYgU9g-w9fVr9JGY348Y5_n3nyPlDlbzQCud27tMJ_UbLVoX_28_ggK_0FnbfCdslF7mWdJG_c4AT7o2oe1KsRkDiNW3SuAdnNuHtDd1LK2QGke_8paN5aLfL3LFf03ovLuNluK619isfhruRo-IPeNn0l7xcQ4IHtJ9pAcGE1e03eGbvr9I_K75CWheUqxmA6uTHRsRidFSm9dNwWLTc-0oOgU9CP_IaiOOKCCglmBLbaWMkK_lCd1dh9WyZgOL_FSHqF47ktPDEeFQY9MUCNFz7cgjn5MZsPB2dGxbXI12IqH3Y0NfkYqksBTTEkuJe8IlUqVpKHwYhYqrmLHA-nH0vNdHgsHNN_naYcnygV7LBP3CWlkIIVDQh3AQmuWBCxmSniSc1hCuRQguzSQgUXcUkCRMkTmmE9jEenbOR82NMUYRyjWyIjVInbValkQefwH30fZV1ik4dYF-eoiMlodOTxNkeEfGYwY-pqw_VSd2BNOHLPACy3yEmdOVLxprYxJ1AM3OPQ9n0FnXmsEUnFkGOtzIbbrdXTy9dstQNPTGuitAaU5DIcS5n0F9AknSg3ZrCHBoKha9SHO83JU1hGIKvTBdcT-NMu5v7v6VVWNP4rxe1mSbwHj4fU7Dz1mkaeFqlQj20VOQPCKLOLXlKg29PWa7PK7ZkIH75PBf7ZIu1K3Wwn32c1dfE7ugU_MdBgha5LGZrVNXoDfuZEtcsef-_ANjhz8Dj-1yH5_MJ6ctvRJTkubGiibjSe98z-_XYxm |
| linkProvider | Scholars Portal |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1fb9MwELdGeRgviPFvgcEMAgEP6ZrGdpIHhDZY1dJ1INZNfQu2k4xJJSlrq7HvwefgM3LnOIGICfaylz7Ev0SN7_y7u_h8R8gz3RVdFTLf1amvXMaRByOZuaHKIHyGX9-cShvti_4hez_hkxXyszoLg2mVFScaok4Kjd_It7woiAKwXzx6M_vmYtco3F2tWmiUajFMz88gZJu_HrwD-T7vdnu747d913YVcLWIugsXLGIm05BrppVQSnSkzpROs0jyhEVa6MTj8D8TxQNfJNIDHQ1E1hGp9oE5VOrDc6-R68wHLoH1E0zqAA-4Qwh7PM8PvC2rDe1ZkadtjL1C23qmMn-mS0BtC1qzaTG_yNH9O19zdZnP5PmZnE7_MIa9W-Sm9WLpdql2a2QlzW-TNcsTc_rSFrN-dYf8qKqe0CKjeJnufre5tzn9WDYMN2MHYA_o2KgBPYBpLr5KavIZqKRAWhDAGx1C6LD6DujugA1OaO8Et_wRil-V6cBWwLDokU2ZpOhXl2Wp75LDK5HZPdLKQQrrhHqAhbtZGrKEacmVEGCghZIguyxUoUP8SkCxtmXSsVvHNDZ7fwGES-UcxyjW2IrVIW5916wsE_If_A7KvsZikW9zoTg9ji1nxJ7IMuwfgPWRGHqyENzqTsKllyQs5JFDNlFz4vLEbE1V8TY42VHAAwYv89QgsNBHjplEx3I5n8eDD0eXAB18aoBeWFBWwHRoaU9vwDuhojSQGw0k0JVuDK-jnlezMo9_L2y4s9L9i4ef1MP4UMwOzNNiCRiOm_si4swh98ulUs9sFysOgs_lkKCxiBpT3xzJT76YOuvg2zL4zw5p18vtUsJ98O_32CSr_fFoL94b7A8fkhvggTOTtMg2SGtxukwfgZe7UI8NtVDy-aq57Bf6wsCZ |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1fb9MwELdGkYAXxPi3wGAGgYCHtE1iO8kDQhtbtTI2JrqhvgXbScakkpS11dj34NPw6bhznEDEBHvZSx_iX6LGd_7dXXy-I-SZ9oWvIha4OguUyzjyYCxzN1I5hM_wG5hTabt7YvuQvRvz8RL5WZ-FwbTKmhMNUaelxm_kPS8O4xDsF497uU2L2N8cvJl-c7GDFO601u00KhXZyc5OIXybvR5ugqyf-_5g6-Dttms7DLhaxP7cBeuYyyzimmkllBJ9qXOlszyWPGWxFjr1OPznVPEwEKn0QF9DkfdFpgNgEZUF8Nwr5GoYBDGmE4bjJtgDHhHCHtULQq9nNaM7LYusi3FYZNvQ1KbQdAxo7EJnOiln5zm9f-duXl8UU3l2KieTPwzj4Ba5aT1aul6p4DJZyorbZNlyxoy-tIWtX90hP-oKKLTMKV6mW99tHm5B96vm4WZsBLaBHhiVoCOY5vKrpCa3gUoKBAbBvNEnhO7U3wTdDbDHKR0c4_Y_QvELMx3aahgWvWvTJyn62FWJ6rvk8FJkdo90CpDCCqEeYOFulkUsZVpyJQQYa6EkyC6PVOSQoBZQom3JdOzcMUnMPmAIoVM1xwmKNbFidYjb3DWtSob8B7-Bsm-wWPDbXChPjhLLH4kn8hx7CWCtJIZeLQS6up9y6aUpi3jskDXUnKQ6PdvQVrIODncc8pDByzw1CCz6UeDyOZKL2SwZfvh0AdDoYwv0woLyEqZDS3uSA94JFaWFXG0hgbp0a3gF9byelVnye5HDnbXunz_8pBnGh2KmYJGVC8Bw3OgXMWcOuV8tlWZmfaw-CP6XQ8LWImpNfXukOP5iaq6Dn8vgPzuk2yy3Cwn3wb_fY41cAxZL3g_3dh6SG-CMM5O_yFZJZ36yyB6BwztXjw2zUPL5sqnsFxS_xNw |
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELbK9gAXoLwaWMAgxOOQdJPYTnLcoq5aUEvFdlE5oMh2EqhYkhWbFY8Dv4IfzIzjRASKKAcuq1X8OYrH4_GMPf5MyAMdiEDFLHR1HiqXcbSDiSzcWBUQPsNvaE6l7R-I3Rl7dsyP18ib9iyMlSDEiPNqaXby8U9V5ltWklvIV9Tsnnp-GPltDW8BIA8jHLC5Dw3jEK6M1XgA6RxZFxxc9QFZnx0cjl83O82BK4JRaI_T_elNvenKsPp3tnuAX3aaY_p7fuX5VbmQXz7J-fynyWtyiXxrm93krLz3VrXy9NdfGCH_m1wuk4vW7aXj5i0bZC0vr5ANa1iW9LFlv35ylXxvaVJoVVB8THc-22Tdkh42N4ybsilMIPTI6A2dwnCtPkhqEiCopGDlIOI3SofQ5-3CobsNk3ZGJyeYI4BQXIame5Yyw6L3bY4lRUe84bG-RmaTnaOnu669OsLVIglqF9yeQuYx10wroZQYSV0onReJ5BlLtNCZz0EZM8WjUGTSB0MUiWIkch3C9KDy8DoZlCC4TUJ9wEJtlscsY1pyJQTM6ELJWIgiVrFDwlZDUm151fF6j3lqNgsjiK8aGafYE6ntCYe4Xa1FwyvyF_w2Kl-HRVZw8wBUIbUqkPqiKPDCASRUYuj6QjSsRxmXfpaxmCcOuYuqmzZHbDvblo7BK08iHjFozH2DQGaQElOP3srVcpnuvXh1BtD0ZQ_0yIKKCsShpT3uAW1CRekhhz0k2DfdK95EVW-lskyhq5IIPFlsz7AdfKcX3-uK8aWYTljm1QowHLMBRMKZQ240Y7WTbIAUheCkOSTqjeKe6Psl5ck7Q8wOzjCDb3aI1433M3XuzX-tcItcAMedmVxHNiSD-uMqvw3Oca3uWBP3A9KwwSI |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Analysis+of+Gene+Expression+Profiles+of+Soft+Tissue+Sarcoma+Using+a+Combination+of+Knowledge-Based+Filtering+with+Integration+of+Multiple+Statistics&rft.jtitle=PloS+one&rft.au=Takahashi%2C+Anna&rft.au=Nakayama%2C+Robert&rft.au=Ishibashi%2C+Nanako&rft.au=Doi%2C+Ayano&rft.date=2014-09-04&rft.pub=Public+Library+of+Science&rft.eissn=1932-6203&rft.volume=9&rft.issue=9&rft_id=info:doi/10.1371%2Fjournal.pone.0106801&rft.externalDocID=1979708159 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1932-6203&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1932-6203&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1932-6203&client=summon |